Predigest 发表于 2025-3-26 22:20:00
,Power-Expected-Posterior Methodology with Baseline Shrinkage Priors,ective, in regression models. The PEP prior inherits all of the advantages of Expected-Posterior-Prior (EPP) and furthermore it drops the need of selection over the imaginary data and decreases their effect over the final prior. Under the PEP prior methodology an initial (usually default) baseline p擦掉 发表于 2025-3-27 02:30:49
,Bayesian Nonparametric Scalar-on-Image Regression via Potts-Gibbs Random Partition Models,esian nonparametric scalar-on-image regression model that utilises the spatial coordinates of the voxels to group voxels with similar effects on the response to have a common coefficient. We employ the Potts-Gibbs random partition model as the prior for the random partition in which the partition prdelegate 发表于 2025-3-27 06:02:05
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,Specification of the Base Measure of Nonparametric Priors via Random Means,e in Bayesian Nonparametrics: understanding the behavior of a finite dimensional feature of a flexible and infinite-dimensional prior is crucial for prior elicitation. In particular distributions of means of nonparametric priors have been the object of thorough investigation in the literature. We taCriteria 发表于 2025-3-27 22:53:32
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